Quality metrics for low-bitrate coding

Thierry Eude; Hocine Cherifi

doi:10.1117/12.274551

3 June 1997 Quality metrics for low-bit-rate coding

Thierry Eude, Hocine Cherifi

Proceedings Volume 3016, Human Vision and Electronic Imaging II; (1997) https://doi.org/10.1117/12.274551
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

This paper considers the use of image quality metric for still image compression systems comparison. The peak signal to noise ratio (PSNR) is a commonly used quality metric in image compression. However it is also generally acknowledges that the PSNR is not a good measure for the prediction of perception of the quality of many different types of image from statistical evaluation by panels of observers. Consequently, for still image evaluation, many authors have proposed several distortion measures with the introduction of some human visual characteristics. But one significant problem associated with these metrics is that there is little information on how these measures perform in comparison to each other. The purpose of this paper is to provide a rigorous evaluation of two metrics to assess the quality of compressed images. The compression system used in this evaluation is the classical JPEG coder. Both objective and subjective tests were performed on a 250 natural images database with a panel of experimented and nonexperimented observers. The results are highly correlated with the complexity of the images under study. Nevertheless, a statistical evaluation of these metrics allows us to operate an objective classification.

Citation Download Citation

Thierry Eude and Hocine Cherifi "Quality metrics for low-bit-rate coding", Proc. SPIE 3016, Human Vision and Electronic Imaging II, (3 June 1997); https://doi.org/10.1117/12.274551

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